Skip to main content

Pokemon Go and physical activity

In honor of the New Year, a post about health. 

A team of researchers from Harvard made a brief video that describes their recent publication. The video includes discussion about their hypothesis generation, methodology, and research findings. 

Their research question: Does the game Pokemon Go actually improve the health of users?


How to use this video in your class:

-This is an easily understood research project to share with your RM students. It also goes into detail about the statistics used for analysis.

-And the researchers, from fancy-pants Harvard, aren't afraid of being a bit silly and having fun as researchers. As demonstrated by the below images from the video:

This guy. Seriously. I hope to some day love my data as much as he loves his data.


And they made graphs using Pokemon balls


-How do we get our research ideas? Sometimes, from observations about every day living. This research was inspired by the Pokemon Go phenomena. I try to convince my students that many research ideas are the result of genuine curiosity about the world, and I think this does a good job of illustrating it.

-One of the co-authors describes the methodology: How the recruited and chose participants, describe the regression model they used, factored out seasonal differences the could affect how much time people spend outside.

-It is a video.

-Accessible example of quasi-experimental methods to create an a control group and an experimental group.

-You could use this video as the Cliff Notes to accompany the actual research paper. For students who are new to reading source material, this might be a soft step into navigating publications.

-Could be good for human factors or health psychology classes in addition to stats/RM.

Comments

Popular posts from this blog

Ways to use funny meme scales in your stats classes

Have you ever heard of the theory that there are multiple people worldwide thinking about the same novel thing at the same time? It is the multiple discovery hypothesis of invention . Like, multiple great minds around the world were working on calculus at the same time. Well, I think a bunch of super-duper psychology professors were all thinking about scale memes and pedagogy at the same time. Clearly, this is just as impressive as calculus. Who were some of these great minds? 1) Dr.  Molly Metz maintains a curated list of hilarious "How you doing?" scales.  2) Dr. Esther Lindenström posted about using these scales as student check-ins. 3) I was working on a blog post about using such scales to teach the basics of variables.  So, I decided to create a post about three ways to use these scales in your stats classes:  1) Teaching the basics of variables. 2) Nominal vs. ordinal scales.  3) Daily check-in with your students.  1. Teach your students the basics...

Leo DiCaprio Romantic Age Gap Data: UPDATE

Does anyone else teach correlation and regression together at the end of the semester? Here is a treat for you: Updated data on Leonardo DiCaprio, his age, and his romantic partner's age when they started dating. A few years ago, there was a dust-up when a clever Redditor r/TrustLittleBrother realized that DiCaprio had never dated anyone over 25. I blogged about this when it happened. But the old data was from 2022. Inspired by this sleuthing,  I created a wee data set, including up-to-date information on his current relationship with Vittoria Ceretti, so your students can suss out the patterns that exist in this data.

If your students get the joke, they get statistics.

Gleaned from multiple sources (FB, Pinterest, Twitter, none of these belong to me, etc.). Remember, if your students can explain why a stats funny is funny, they are demonstrating statistical knowledge. I like to ask students to explain the humor in such examples for extra credit points (see below for an example from my FA14 final exam). Using xkcd.com for bonus points/assessing if students understand that correlation =/= causation What are the numerical thresholds for probability?  How does this refer to alpha? What type of error is being described, Type I or Type II? What measure of central tendency is being described? Dilbert: http://search.dilbert.com/comic/Kill%20Anyone Sampling, CLT http://foulmouthedbaker.com/2013/10/03/graphs-belong-on-cakes/ Because control vs. sample, standard deviations, normal curves. Also,"skewed" pun. If you go to the original website , the story behind this cakes has to do w...